As the Associate Director of Assessment and Evaluation at Michigan State University’s Evidence Driven Learning Innovation (EDLI), I oversee the evaluation of digital learning innovations to improve the educational experiences of faculty and students. My primary responsibility is to design and implement assessment protocols that measure the effectiveness of advanced technologies, including generative AI, within classroom settings. I conduct both qualitative and quantitative research to analyze how these technologies influence key outcomes such as student engagement, self-efficacy, and academic achievement.
In addition to leading research initiatives, I manage a range of large-scale projects, including a recently awarded National Science Foundation (NSF) grant (PI) focused on the ethical use of generative AI for STEM educators. This project involves cross-departmental collaboration, allowing me to work alongside experts in educational technology to develop training modules and resources that support teachers in adapting to the AI-driven educational landscape. I also collaborate closely with faculty members in conducting research and applying for external grants, ensuring that our projects are well-funded and aligned with the university's strategic goals. Furthermore, I mentor faculty in applying evidence-based practices for their assessment and curriculum design, guiding them in harnessing the full potential of digital tools to create more inclusive, equitable, and effective learning environments.
EMERGING TECHNOLOGY, ETHICS & LITERACY
I lead the only college-wide learning community on AI for all educators (a monthly meeting sponsored by MSU Office of the Provost). What's unique about these presentations, workshops, and modules is that we don't just talk about theories and tips--instead, our pedagogical implications are based on evidence/data-driven findings from my collaborations with interdisciplinary educators and grant-funded studies. It also has been incredible to have both undergraduate and graduate student panels and early-career scholars as guest speakers.
Introduction to AI Tools
AI in Teaching & Learning (w/ student panel)
AI in Research Planning & Qualitative Research Tool
Responsible use of AI: Policy guidance integration and Bias
AI Inclusivity (with 3 external guest speakers)
AI Ethics: Focus on Data Privacy, Dangers, Human & Environmental Impact
AI in Assessment and Curriculum Design
AI in Emotions and Self-Regulated Learning (Findings from our AI Tutoring studies + student panel)
Current Grant Projects (PI & Co-PI):
AI inclusivity (College of Education grant; funded)
AI & Teacher Agency (Institution-wide analysis of educators’ transition)
Multilingual & Multicultural Abilities of AI (Community-Engaged Research Fellowship funding)
Generative AI ethics design sprint workshop for STEM educator (NSF grant; funded)
Fostering student-driven learning & innovative performance in design education through generative AI (Catalyst grant; funded)
Investigating academic outcomes of generative AI tutoring for first-year undergraduates (National Center for Education Research grant; pending)
Developing methodologies for observing and analyzing generative AI use in the classroom: Merging industry and education qualitative research practices (pending)
AI-Related Research / Evaluation Projects (Lead):
AI Literacy & Ethics
Software Analysis
Tailored Tutoring (AI tutoring)
Khanmigo (AI tutoring)
Packback (AI embedded support)
Midjourney (design AI)
H5P (Interactive video platform)
PlayPosit (Interactive video platform)
Digital Learning Research Framework
AI tutoring training module
Effective and ethical AI prompting
Software evaluation process protocol
AI in Curriculum & Assessment
Sample lesson plan: Exploring AI genres in writing
Presentations
AI & Qualitative Methods
Qualitative data collection methods on AI
Conducting data analysis using AI
AI Inclusivity & Teacher Agency (Institution-wide analysis of educators’ transition)
Multilingual & Multicultural Abilities of AI